We are looking for a top motivated student to work towards the creation and development a self-supervised hypergraph of neural networks model that performs multi-task visual learning, at the Institute of Mathematics of the Romanian Academy (IMAR).
The research position is funded by UEFISCDI, as part of the project titled HyperVision : Unsupervised Visual Learning through Intelligent Equillibrium in a Hypergraph of Neural Networks ,
under the supervision of Prof. Marius Leordeanu.
Skills / Qualifications
The ideal job candidates are graduate
students with very strong skills in mathematics and computer science.
The young researchers will gain hands on research experience on
latest methods and models from computer vision, robotics and machine
Graduate students with a Masters Degree in computer science or mathematics, who are eager to learn and explore the growing fields of artificial intelligence, computer vision and robotics are strongly encouraged to apply.
Previous experience with computer vision, robotics, machine learning and knowledge of linear algebra, probability, statistics, deep neural networks and analytic geometry is a strong plus.